Relevant bibliographies by topics / Piecewise sources

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Piecewise sources'

Author: Grafiati
Published: 4 June 2021
Last updated: 8 February 2022

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Journal articles on the topic "Piecewise sources"

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Koldovský, Zbyněk, Jiří Málek, Petr Tichavský, Yannick Deville, and Shahram Hosseini. "Blind separation of piecewise stationary non-Gaussian sources." Signal Processing 89, no. 12 (December 2009): 2570–84. http://dx.doi.org/10.1016/j.sigpro.2009.04.021.

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Melyukov, Valery, and Evgeny A. Marinin. "Controlled Process of Crystallization in Weld Pool." Materials Science Forum 1037 (July 6, 2021): 258–63. http://dx.doi.org/10.4028/www.scientific.net/msf.1037.258.

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In this report the problem of control of solidification crack formation in welded plates is considered. In this problem the welding source is determined in dependence on the preset configuration and curvature of the rear part weld pool. A double ellipsoid model of weld pool with preset semi-axes may be used for the first approximation of preset weld pool configuration. It is an inverse problem which may be more efficiently solved as optimal control problem. The Function of welding source as a controlling function obtained in the result of solution is determined in a class of piecewise continuous functions which is more common class and the continuous-smooth functions are special partial case of common class. Recent methods of optimal control which use for solution of optimal control problems require to present the controlling functions in class of piecewise constant functions. Laser influence, electron beam, plasma, arc and submerged arc are the welding sources with high concentrated energy. A mathematical models of these welding sources may be introduced in class of piecewise continuous function with an efficient accuracy.
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Shamir, G. I., and N. Merhav. "Low-complexity sequential lossless coding for piecewise-stationary memoryless sources." IEEE Transactions on Information Theory 45, no. 5 (July 1999): 1498–519. http://dx.doi.org/10.1109/18.771150.

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TADEUSIEWICZ, MICHAL, and KRZYSZTOF GŁOWIENKA. "A CONTRACTION ALGORITHM FOR FINDING ALL THE DC SOLUTIONS OF PIECEWISE-LINEAR CIRCUITS." Journal of Circuits, Systems and Computers 04, no. 03 (September 1994): 319–36. http://dx.doi.org/10.1142/s0218126694000193.

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An efficient algorithm for finding all the DC solutions of a broad class of piecewise-linear circuits, having hybrid representation, is described in this paper. Circuits belonging to this class can include electronic devices modelled by linear resistors, linear controlled sources, piecewise-linear two terminal resistors and independent sources. The algorithm is based on the idea of successive division and contraction of the solution domain. Two contraction methods are developed that result in a high rate of convergence of the computation process. Numerical examples and comparison analyses show the efficiency of this algorithm.
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Cottereau, Benoit, Karim Jerbi, and Sylvain Baillet. "Multiresolution imaging of MEG cortical sources using an explicit piecewise model." NeuroImage 38, no. 3 (November 2007): 439–51. http://dx.doi.org/10.1016/j.neuroimage.2007.07.046.

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Deleforge, Antoine, Florence Forbes, and Radu Horaud. "Acoustic Space Learning for Sound-Source Separation and Localization on Binaural Manifolds." International Journal of Neural Systems 25, no. 01 (January 6, 2015): 1440003. http://dx.doi.org/10.1142/s0129065714400036.

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In this paper, we address the problems of modeling the acoustic space generated by a full-spectrum sound source and using the learned model for the localization and separation of multiple sources that simultaneously emit sparse-spectrum sounds. We lay theoretical and methodological grounds in order to introduce the binaural manifold paradigm. We perform an in-depth study of the latent low-dimensional structure of the high-dimensional interaural spectral data, based on a corpus recorded with a human-like audiomotor robot head. A nonlinear dimensionality reduction technique is used to show that these data lie on a two-dimensional (2D) smooth manifold parameterized by the motor states of the listener, or equivalently, the sound-source directions. We propose a probabilistic piecewise affine mapping model (PPAM) specifically designed to deal with high-dimensional data exhibiting an intrinsic piecewise linear structure. We derive a closed-form expectation-maximization (EM) procedure for estimating the model parameters, followed by Bayes inversion for obtaining the full posterior density function of a sound-source direction. We extend this solution to deal with missing data and redundancy in real-world spectrograms, and hence for 2D localization of natural sound sources such as speech. We further generalize the model to the challenging case of multiple sound sources and we propose a variational EM framework. The associated algorithm, referred to as variational EM for source separation and localization (VESSL) yields a Bayesian estimation of the 2D locations and time-frequency masks of all the sources. Comparisons of the proposed approach with several existing methods reveal that the combination of acoustic-space learning with Bayesian inference enables our method to outperform state-of-the-art methods.
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Mastepanenko, M. A., S. N. Bondar, Sh Zh Gabrielyan, and A. V. Ivashina. "Approximation Piecewise Stabilization of the Thermal Voltage Coefficient of Reference Voltage Sources." Russian Electrical Engineering 91, no. 7 (July 2020): 433–39. http://dx.doi.org/10.3103/s106837122007010x.

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Merhav, N. "On the minimum description length principle for sources with piecewise constant parameters." IEEE Transactions on Information Theory 39, no. 6 (1993): 1962–67. http://dx.doi.org/10.1109/18.265504.

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Suko, Tota, Toshiyasu Matsushima, and Shigeichi Hirasawa. "Asymptotic property of universal lossless coding for independent piecewise identically distributed sources." Journal of Discrete Mathematical Sciences and Cryptography 13, no. 4 (August 2010): 383–91. http://dx.doi.org/10.1080/09720529.2010.10698301.

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Shamir, Gil I., and Daniel J. Costello. "On the redundancy of universal lossless coding for general piecewise stationary sources." Communications in Information and Systems 1, no. 3 (2001): 305–32. http://dx.doi.org/10.4310/cis.2001.v1.n3.a4.

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Dissertations / Theses on the topic "Piecewise sources"

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Pandya, Tara M. 1984. "Long-Characteristics Methods with Piecewise Linear Sources in Space and Time for Transport on Unstructured Grids." Thesis, 2012. http://hdl.handle.net/1969.1/148326.

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The method of characteristics (MOC) is a deterministic transport method that has been applied to large-scale problems including those in reactor physics and radiative transfer. Long characteristics, (LC) methods, have been used extensively to discretize and solve transport problems in the spatial domain. There is a need for an equally adequate time-dependent discretization for these transport problems. The new contributions from this research include the development of a space-time long characteristic (STLC) method with various source approximations including several that employ a piece-wise linear (PWL) approximation spatially. In the prism-PWL (PPWL) method the coefficient of each PWL spatial function is linear in time in each space-time cell. Along with STLC, a PWL-LC method is developed for steady-state problems in (x, y) and (x, y, z). The methods developed in this work use least-squares projections to determine the coefficients of their source approximations. This work presents a detailed asymptotic analysis of the PWL-LC and STLC methods in the thick diffusion limit, which is of special interest in radiative transfer problems. This is the first such analysis reported for LC methods and these new methods are the first that are expected to perform well in this limit. Results from test problems executed with a modified version of the Parallel Deterministic Transport code, PDT, show the PWL-LC and STLC methods are more accurate than current methods for streaming problems. From asymptotic analysis and test problems, it is found that the steady-state PWL-LC method is accurate in the thick diffusion limit with solutions similar to those of analogous discontinuous finite element method, DFEM, solutions. Similarly, the PPWL-STLC method is found to be accurate in time-dependent thick diffusive problems. STLC is also a promising method for massively parallel applications because it permits the use of track-based sweeping, which appears to have significant advantages over cell-based sweeping. This is a key topic recommended for further research.
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Wang, Yu-Chung, and 王玉忠. "A LCD SOURCE DRIVER WITH 12-BIT PIECEWISE LINEAR DIGITAL-TO-ANALOG CONVERTOR." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/65675397718599607485.

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碩士
大同大學
電機工程學系(所)
99
This thesis is to improve liquid crystal displays for color saturation and Gamma correction, and a piecewise linear 12-bit segmented digital-to-analog converter (DAC) for LCD source driver is proposed. The data conversion is carried out by an 8-bit resistor-string type DAC (R-DAC) and a 4-bit charge sharing DAC (C-DAC), which are used for the most significant bit and least significant bit data conversions, respectively. Piecewise linear compensation is utilized to reduce the die area and increase the effective color depth. In addition, Gamma correction can be applied to amend the characteristic of the liquid crystal transmittance-to-voltage to be a linear relationship. A folded-cascade operational amplifier with a class AB output stage has been designed for high frequency response and low static power of the output buffer amplifier. The proposed LCD source driver was simulated using TSMC 0.35μm 2P4M CMOS process model. The operation voltage is 5V and the settling time of data converter is within 3.5μs. The static bias current of buffer amplifier is 6.64μA for each channel. The layout area for 2 channels is 865μm × 1250μm (without I/O pads).
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Chang, Yu-Hao, and 張育豪. "Generalized Piecewise Integer Mapping Based Arithmetic Coding and its Joint Source-Channel Decoding." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/y2daq8.

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碩士
國立暨南國際大學
資訊工程學系
101
Arithmetic coding (AC) is an efficient data compression technique and widely adopted in image and video compression standards. However, the high complexity of arithmetic coding in computation is the bottleneck that many researchers endeavor to overcome. Piecewise integer mapping based arithmetic coding can eliminate all multiplicative operations in both encoder and decoder by the technique of replacing them with the operations of comparison and addition. It can reduce the computational complexity with a little penalty of compression loss. A generalized piecewise integer mapping arithmetic coding can provide higher compression efficiency with maintaining almost the same coding speed. 　　The iterative decoding to a communication scheme of which an arithmetic code with forbidden symbol is used for source coding and a recursive systematic convolutional code is used for channel coding. In this system, it adopts a low complexity SISO technique (called modified SOVA algorithm) for arithmetic coding, where arithmetic code can be modeled as a finite state machine and then can be decoded by using a trellis structure. 　　Experimental results show that the piecewise integer mapping based AC or the generalized piecewise integer mapping based AC can not only eliminate all multiplicative operations to lower down the computational complexity, but also owns a little capability of error correcting. Besides, the compression efficiency of it sometime becomes better than that of the traditional integer AC. In general, the integer AC with forbidden symbol will outperform the integer AC without forbidden symbol in terms of the error correcting performance.Furthermore, the EXIT chart is also presented for analyzing the iterative decoding.
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Book chapters on the topic "Piecewise sources"

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"Generalized Solution to the Volterra Equations with Piecewise Continuous Kernels and Sources." In World Scientific Series on Nonlinear Science Series A, 55–63. WORLD SCIENTIFIC, 2014. http://dx.doi.org/10.1142/9789814619196_0005.

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Conference papers on the topic "Piecewise sources"

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Vellambi, Badri, Owen Cameron, and Marcus Hutter. "Universal Compression of Piecewise i.i.d. Sources." In 2018 Data Compression Conference (DCC). IEEE, 2018. http://dx.doi.org/10.1109/dcc.2018.00035.

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Shamir, Gill I., Daniel J. Costello, and N. Merhav. "Asymptotically optimal low complexity sequential lossless coding for regular piecewise stationary memoryless sources." In Proceedings of the 1999 IEEE Information Theory and Communications Workshop. IEEE, 1999. http://dx.doi.org/10.1109/itcom.1999.781413.

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Koldovsky, Zbynek, Jiri Malek, Petr Tichavsky, Yannick Deville, and Shahram Hosseini. "Extension of EFICA Algorithm for Blind Separation of Piecewise Stationary Non Gaussian Sources." In ICASSP 2008. IEEE International Conference on Acoustic, Speech and Signal Processes. IEEE, 2008. http://dx.doi.org/10.1109/icassp.2008.4518009.

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Shamir, Gill I., and Daniel J. Costello. "Asymptotically optimal threshold based low complexity sequential lossless coding for piecewise stationary memoryless sources." In 1999 Information Theory and Networking Workshop. IEEE, 1999. http://dx.doi.org/10.1109/itnw.1999.814342.

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Kanazawa, Hiroki, and Kenji Yamanishi. "An MDL-based change-detection algorithm with its applications to learning piecewise stationary memoryless sources." In 2012 IEEE Information Theory Workshop (ITW 2012). IEEE, 2012. http://dx.doi.org/10.1109/itw.2012.6404736.

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Wang, Jing, Yan Wang, Dimitar Filev, and Lirjon Llusho. "Nonlinear Data Classification and Applications to Vehicle Calibration Identification." In ASME 2016 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/dscc2016-9631.

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In this paper, we consider the general problem of data classification, and focus on the development of suitable approaches for automotive calibration applications. Specifically, we propose two methods for nonlinear data classification: the first one is to find the smallest piecewise linear (PWL) region for a given data set and the second one is to construct piecewise quadratic (PWQ) boundary to separate two data sets . In both methods, the construction of the boundary curve is formulated as convex optimization problems that can be solved efficiently. Our approaches can incorporate prior information about data distribution and allow fixed structure of the decision boundary from different data sets with similar generating sources. We demonstrate the efficiency and effectiveness of the approaches with an application to calibration identification of vehicle rollover detection algorithm.
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Chernokozhin, E. V., and A. Boag. "A modified method of generalized Debye sources for the analysis of electromagnetic scattering by conducting bodies with piecewise-smooth surfaces." In 2013 International Conference on Electromagnetics in Advanced Applications (ICEAA). IEEE, 2013. http://dx.doi.org/10.1109/iceaa.2013.6632309.

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Gribonval, Remi. "Piecewise linear source separation." In Optical Science and Technology, SPIE's 48th Annual Meeting, edited by Michael A. Unser, Akram Aldroubi, and Andrew F. Laine. SPIE, 2003. http://dx.doi.org/10.1117/12.504790.

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Kao, Yueying, Weiming Li, Zairan Wang, Dongqing Zou, Ran He, Qiang Wang, Minsu Ahn, and Sunghoon Hong. "An Appearance-and-Structure Fusion Network for Object Viewpoint Estimation." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. California: International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/684.

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Automatic object viewpoint estimation from a single image is an important but challenging problem in machine intelligence community. Although impressive performance has been achieved, current state-of-the-art methods still have difficulty to deal with the visual ambiguity and structure ambiguity in real world images. To tackle these problems, a novel Appearance-and-Structure Fusion network, which we call it ASFnet that estimates viewpoint by fusing both appearance and structure information, is proposed in this paper. The structure information is encoded by precise semantic keypoints and can help address the visual ambiguity. Meanwhile, distinguishable appearance features contribute to overcoming the structure ambiguity. Our ASFnet integrates an appearance path and a structure path to an end-to-end network and allows deep features effectively share supervision from both the two complementary aspects. A convolutional layer is learned to fuse the two path results adaptively. To balance the influence from the two supervision sources, a piecewise loss weight strategy is employed during training. Experimentally, our proposed network outperforms state-of-the-art methods on a public PASCAL 3D+ dataset, which verifies the effectiveness of our method and further corroborates the above proposition.
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Iriarte, Gabriela, Pablo Escalona, Alejandro Angulo, and Raul Stegmaier. "A Single-source Weber Problem with Continuous Piecewise Fixed Cost." In 6th International Conference on Operations Research and Enterprise Systems. SCITEPRESS - Science and Technology Publications, 2017. http://dx.doi.org/10.5220/0006191003370344.

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